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Crates.io ONNX Runtime
| 💖 Sponsored by | | |:------------:|---| | Rime.ai | Authentic AI voice models for enterprise. |
`ort` is a Rust interface for performing hardware-accelerated inference & training on machine learning models in the [Open Neural Network Exchange](https://onnx.ai/) (ONNX) format. Based on the now-inactive [`onnxruntime-rs`](https://github.com/nbigaouette/onnxruntime-rs) crate, `ort` is primarily a wrapper for Microsoft's [ONNX Runtime](https://onnxruntime.ai/) library, but offers support for [other pure-Rust runtimes](https://ort.pyke.io/backends). `ort` with ONNX Runtime is super quick - and it supports almost [any hardware accelerator](https://ort.pyke.io/perf/execution-providers) you can think of. Even still, it's light enough to run on your users' devices. When you need to deploy a PyTorch/TensorFlow/Keras/scikit-learn/PaddlePaddle model either on-device or in the datacenter, `ort` has you covered. ## 📖 Documentation - [Guide](https://ort.pyke.io/) - [API reference](https://docs.rs/ort/2.0.0-rc.12/ort/) - [Examples](https://github.com/pykeio/ort/tree/main/examples) - [Migrating from v1.x to v2.0](https://ort.pyke.io/migrating/v2) ## 🤔 Support - [Discord: `#🦀｜ort-general`](https://discord.gg/uQtsNu2xMa) - [GitHub Discussions](https://github.com/pykeio/ort/discussions) ## 🌠 Backers ## 💖 FOSS projects using `ort` [Open a PR](https://github.com/pykeio/ort/pulls) to add your project here 🌟 - **[Text Embeddings Inference (TEI)](https://github.com/huggingface/text-embeddings-inference)** uses `ort` to deliver high-performance ONNX Runtime inference for text embedding models. - **[Magika](https://github.com/google/magika)** uses `ort` for neural network-based file type detection. - **[retto](https://github.com/NekoImageLand/retto)** uses `ort` for reliable, fast ONNX inference of PaddleOCR models on Desktop and WASM platforms. - **[edge-transformers](https://github.com/npc-engine/edge-transformers)** uses `ort` for accelerated transformer model inference at the edge. - **[`sbv2-api`](https://github.com/neodyland/sbv2-api)** is a fast implementation of Style-BERT-VITS2 text-to-speech using `ort`. - **[BoquilaHUB](https://github.com/boquila/boquilahub/)** uses `ort` for local AI deployment in biodiversity conservation efforts. - **[CamTrap Detector](https://github.com/bencevans/camtrap-detector)** uses `ort` to detect animals, humans and vehicles in trail camera imagery. - **[Ortex](https://github.com/relaypro-open/ortex)** uses `ort` for safe ONNX Runtime bindings in Elixir. - **[oar-ocr](https://github.com/GreatV/oar-ocr)** A comprehensive OCR library, built in Rust with `ort` for efficient inference. - **[`FastEmbed-rs`](https://github.com/Anush008/fastembed-rs)** uses `ort` for generating vector embeddings, reranking locally. - **[Ahnlich](https://github.com/deven96/ahnlich)** uses `ort` to power their AI proxy for semantic search applications. - **[Murmure](https://github.com/Kieirra/murmure)** uses `ort` as its core engine, leveraging NVIDIA Parakeet to deliver fully local, free, private and cross‑platform Speech‑to‑Text enhanced with LLM post‑processing. - **[Valentinus](https://github.com/kn0sys/valentinus)** uses `ort` to provide embedding model inference inside LMDB. - **[SilentKeys](https://github.com/gptguy/silentkeys)** uses `ort` for fast, on-device real-time dictation with NVIDIA Parakeet and Silero VAD.